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Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings
BACKGROUND: Multicriteria decision analysis (MCDA) has the potential to bring more structure and transparency to health technology assessment (HTA). The objective of this paper is to highlight key methodological and practical challenges facing the use of MCDA for HTA, with a particular focus on lowe...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225551/ https://www.ncbi.nlm.nih.gov/pubmed/30455602 http://dx.doi.org/10.1186/s12962-018-0125-8 |
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author | Marsh, Kevin Thokala, Praveen Youngkong, Sitaporn Chalkidou, Kalipso |
author_facet | Marsh, Kevin Thokala, Praveen Youngkong, Sitaporn Chalkidou, Kalipso |
author_sort | Marsh, Kevin |
collection | PubMed |
description | BACKGROUND: Multicriteria decision analysis (MCDA) has the potential to bring more structure and transparency to health technology assessment (HTA). The objective of this paper is to highlight key methodological and practical challenges facing the use of MCDA for HTA, with a particular focus on lower and middle-income countries (LMICs), and to highlight potential solutions to these challenges. METHODOLOGICAL CHALLENGES: Key lessons from existing applications of MCDA to HTA are summarized, including: that the socio-technical design of the MCDA reflect the local decision problem; the criteria set properties of additive models are understood and applied; and the alternative approaches for estimating opportunity cost, and the challenges with these approaches are understood. PRACTICAL CHALLENGES: Existing efforts to implement HTA in LMICs suggest a number of lessons that can help overcome the practical challenges facing the implementation of MCDA in LMICs, including: adapting inputs from other settings and from expert opinion; investing in technical capacity; embedding the MCDA in the decision-making process; and ensuring that the MCDA design reflects local cultural and social factors. CONCLUSION: MCDA has the potential to improve decision making in LMICs. For this potential to be achieved, it is important that the lessons from existing applications of MCDA are learned. |
format | Online Article Text |
id | pubmed-6225551 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62255512018-11-19 Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings Marsh, Kevin Thokala, Praveen Youngkong, Sitaporn Chalkidou, Kalipso Cost Eff Resour Alloc Review BACKGROUND: Multicriteria decision analysis (MCDA) has the potential to bring more structure and transparency to health technology assessment (HTA). The objective of this paper is to highlight key methodological and practical challenges facing the use of MCDA for HTA, with a particular focus on lower and middle-income countries (LMICs), and to highlight potential solutions to these challenges. METHODOLOGICAL CHALLENGES: Key lessons from existing applications of MCDA to HTA are summarized, including: that the socio-technical design of the MCDA reflect the local decision problem; the criteria set properties of additive models are understood and applied; and the alternative approaches for estimating opportunity cost, and the challenges with these approaches are understood. PRACTICAL CHALLENGES: Existing efforts to implement HTA in LMICs suggest a number of lessons that can help overcome the practical challenges facing the implementation of MCDA in LMICs, including: adapting inputs from other settings and from expert opinion; investing in technical capacity; embedding the MCDA in the decision-making process; and ensuring that the MCDA design reflects local cultural and social factors. CONCLUSION: MCDA has the potential to improve decision making in LMICs. For this potential to be achieved, it is important that the lessons from existing applications of MCDA are learned. BioMed Central 2018-11-09 /pmc/articles/PMC6225551/ /pubmed/30455602 http://dx.doi.org/10.1186/s12962-018-0125-8 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Marsh, Kevin Thokala, Praveen Youngkong, Sitaporn Chalkidou, Kalipso Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title | Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title_full | Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title_fullStr | Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title_full_unstemmed | Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title_short | Incorporating MCDA into HTA: challenges and potential solutions, with a focus on lower income settings |
title_sort | incorporating mcda into hta: challenges and potential solutions, with a focus on lower income settings |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6225551/ https://www.ncbi.nlm.nih.gov/pubmed/30455602 http://dx.doi.org/10.1186/s12962-018-0125-8 |
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